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270,896 tools. Last updated 2026-07-07 23:05

"Finding an LLM that integrates with MCP for precise calculations and accurate answers" matching MCP tools:

  • Evaluates whether an LLM response answers the user's question by generating and scoring yes/no questions.
    Apache 2.0
  • Retrieve the full view hierarchy, including precise frame coordinates (x, y, width, height) for all visible elements in a simulator. Use JSON tree output for accurate UI automation and layout validation.
    MIT
  • Generate a prompt that instructs an LLM to produce a unified diff patch for a cached security finding, using an expanded source window for context.
    MIT
  • Get a concise AI explanation for any finding from DiffGate analysis. Uses a single LLM call for faster results than deep review.
    Apache 2.0
  • Retrieve all available prompts from an MCP server with names, descriptions, and argument schemas for accurate invocation.
    MIT

Matching MCP Servers

  • A
    license
    A
    quality
    F
    maintenance
    MCP server that provides AI assistants with real-time, current information about AI models from OpenAI, Anthropic, and Google, including pricing, capabilities, and context windows.
    Last updated
    4
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    MCP server that provides a live coordination layer for AI agents, including attributable handoffs, a shared event ledger, atomic work-claiming, and advisory file leases to prevent collisions.
    Last updated
    27
    5
    AGPL 3.0

Matching MCP Connectors

  • send-that-email MCP — wraps StupidAPIs (requires X-API-Key)

  • Coordinate multiple AI agents over MCP: atomic claims, leases, shared ledger, handoffs, tasks.

  • Retrieve current date and time with timezone support, calendar context (quarter, week, day-of-year), and relative temporal calculations for LLM awareness.
    Apache 2.0
  • Retrieve schema information to build precise data filters for Paradex trading data. Understand available fields, data types, and formats to construct accurate filtering expressions.
  • Retrieve precise code snippets or concise answers from official documentation for technical queries. Specify the software/library topic and your query to get exact solutions without unnecessary explanations.
    MIT
  • Conduct targeted research by providing answers to clarifying questions, generating an enriched query that yields a comprehensive report with citations.
    MIT
  • Saves precise code snippets or concise answers from official documentation to a specified file, using a Vertex AI model with Google Search for technical queries. Requires topic, query, and output path.
    MIT
  • Records user interactions with torrents (magnet clicks, downloads, or hash copies) to maintain accurate popularity statistics for the TorrentClaw-MCP server.
    MIT
  • Prevent token limit surprises by estimating token consumption locally before sending text to an LLM. Returns token, character, byte counts and cost estimate using byte-pair encoding compatible with modern models.
    MIT
  • Retrieve structured knowledge entries for Klever smart contract development with filtering by type, tags, and contract type. Returns matched entries with scores and pagination.
    MIT
  • Queue a remediation proposal for a security finding that requires human approval before applying. Returns a proposal ID and approval URL.
    AGPL 3.0